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Prevalence and Predictors of Leg Cramps in the Third Trimester of Pregnancy: A Cross-Sectional Study
Authors Abandeh A, Sindiani A
, Nazzal MS
, Almasri NA, Megdadi A, Morris L
, Alshdaifat E
, Kanaan SF
Received 26 February 2024
Accepted for publication 18 July 2024
Published 12 August 2024 Volume 2024:16 Pages 1377—1387
DOI https://doi.org/10.2147/IJWH.S465872
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Professor Elie Al-Chaer
Ala’a Abandeh,1 Amer Sindiani,2 Mohammad S Nazzal,1 Nihad A Almasri,3 Afnan Megdadi,2 Linzette Morris,4 Eman Alshdaifat,5 Saddam F Kanaan4
1Department of Rehabilitation Sciences, Jordan University of Science and Technology, Irbid, Jordan; 2Department of Obstetrics and Gynecology, Jordan University of Science and Technology, Irbid, Jordan; 3Department of Physical Therapy, The University of Jordan, Amman, Jordan; 4Department of Rehabilitation Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar; 5Department of Obstetrics and Gynecology, Faculty of Medicine, Yarmouk University, Irbid, Jordan
Correspondence: Saddam F Kanaan, Department of Rehabilitation Sciences, College of Health Sciences, QU Health, Qatar University, P.O. Box: 2713, 1st Floor, Building I06 Ibn Bitar, Doha, Qatar, Email [email protected]
Objective: This study aimed to estimate the prevalence and determine predictors of leg cramps among pregnant women in their third trimester.
Methods: A sample of pregnant women in their third trimester who routinely visited local clinics in Jordan was recruited. Participants completed a socio-demographic and clinical characteristics questionnaire, the numeric pain rating scale (NPRS) for leg cramp pain intensity, the Arabic version of the Pregnant Physical Activity Questionnaire (PPAQ), the Nordic Musculoskeletal Questionnaire (NMQ), Short Form Health Survey (SF-12), Pittsburgh Sleep Quality Index (PSQI), and Hospital Anxiety and Depression Scale (HADS). In addition, magnesium (Mg) and calcium (Ca) serum levels were examined. Logistic regression analyses were used to identify predictors of leg cramps occurrence. A linear regression model was used to investigate predictors of leg cramps pain intensity among pregnant women who reported leg cramps.
Results: Two hundred and five (n=205) pregnant women completed the study. The estimated prevalence of leg cramps was 58%. Logistic regression results showed that not receiving assistance with housework (OR 0.46, p=0.025), progress in the number of gestational weeks (OR 1.10, p=0.021), the number of previous pregnancies (OR 1.21, p=0.049), having leg swelling (OR 2.28, p=0.019), and having gastrointestinal (GIT) problems (OR 2.12, P=0.046) were associated with a higher odds of leg cramps occurrence. In the subsample with pregnant women with leg cramps, linear regression results showed that pregnant women with high school education versus elementary school (β=0.70, p=0.012), number of working hours (β=0.11, p=0.010), using vitamins supplements (β=− 1.70, p=0.043), having diabetes after pregnancy (β=1.05, p=0.036), having sciatica (β=0.58, p=0.028), having hip pain (β =− .33, p=0.029), and higher PSQI total score (β=0.09, p=0.020) were the significant predictors of leg cramp pain intensity.
Conclusion: Many health-related conditions, as well as work and home-related work characteristics, may be considered risk factors for the occurrence of leg cramps and increased leg cramps pain intensity in pregnancy.
Keywords: Leg cramps, pregnancy, prevalence, third trimester
Introduction
Leg cramp is a sudden and intense involuntary and painful contraction of the lower limb muscles that lasts for a few seconds to a few minutes.1 Typically occurring at night, leg cramps most often involve the calf muscles and can result in muscle tenderness for up to 24 hours.2 Leg cramps are one of the most common musculoskeletal dysfunctions experienced during the second and third trimesters of pregnancy. Leg cramps can significantly affect daily activities, quality of life and sleep patterns.2
3 The prevalence of leg cramps among pregnant women peaking in the third trimester has been estimated to be between 47.8 and 64.4% in studies conducted in the USA, Iran, and India.3–6 The estimated fertility rate in Jordan is 3.5 children per woman,7 with increased pregnancy-related complications like gestational diabetes and preterm labor among women.7 However, there is a paucity of literature investigating the prevalence of leg cramps in Jordan or any other Middle Eastern country.
There is still no consensus about the pathophysiology and the exact causes of leg cramps among pregnant women.8,9 During pregnancy, physiological and hormonal changes lead to increased musculoskeletal discomfort, including leg cramps, which tend to worsen over time, particularly in the third trimester.10 For example, leg cramps in pregnancy could be secondary to body fluid accumulation.10,11 A deficiency of certain minerals, a decrease in extracellular fluid volume, electrolyte imbalances, physical inactivity, or excessive physical activity, standing and sitting for an extended period.11 One cross-sectional study found a statistically significant relationship between the occurrence of leg cramps and serum levels of magnesium (Mg) but no relationship with calcium (Ca) serum levels, age, nutritional habits, or individual characteristics.3 A more recent cross-sectional study reported a significant relationship between the occurrence of leg cramps in pregnancy and decreased sleep quality.12 Given these limited studies, there is a need for further investigation into other comprehensive biopsychosocial factors that could be associated with leg cramps during pregnancy.
The primary objective of this research was to estimate the prevalence of leg cramps in the third trimester of pregnancy among women in Jordan and to investigate biopsychosocial predictors of leg cramps occurrence and pain intensity among pregnant women in the third trimester. Enhancing our comprehension of risk factors associated with leg cramps is essential for healthcare providers to develop more effective management strategies for pregnant women experiencing this condition. Notably, evidence-based interventions for leg cramps remain limited.
Materials and Methods
Study Design and Period
A cross-sectional study design was conducted from September 2021 to August 2022.
Participants
A convenient sampling technique was used to recruit 205 participants, who routinely visited the Obstetrics and Gynaecology clinics at King Abdullah University Hospital, the Ministry of Health affiliated hospital (Princess Badea Hospital) and private clinics (Ibn-Alnafees Hospital) in Northern Jordan. Participants were eligible to be included in the study if they were pregnant women in the third trimester (27 weeks to 40 weeks), irrespective of whether they were at high or low risk for an adverse pregnancy outcome.; aged between 18 to 49 years; and able to read, understand, and complete questionnaires in Arabic. Pregnant patients diagnosed with musculoskeletal problems, having leg cramps before pregnancy, and psychiatric illnesses were excluded. About 250 patients were approached, 205 out of them completed the interview, and the response rate was 82%.
Outcome Measures
A socio-demographic and lifestyle characteristics questionnaire was used to collect the following information: age, residency area (city, suburban and rural), education level, employment status, working hours, housework assistance, cigarette smoking, and water pipe smoking. Pregnancy and clinical characteristics information of the participants, including gestational age, number of previous pregnancies, number of vaginal deliveries, number of cesarean sections, medication and multivitamins consumption, daily water consumption, maternal comorbidities, self-reported leg swelling, varicose vein, and flat feet, was also collected.
Participants also completed the information about leg cramps characteristics, which included frequency of leg cramps per week, duration of leg cramps, and intensity of leg cramps pain, using a numeric pain rating scale (NPRS). In addition, participants completed investigations to determine the serum levels of Ca and Mg, as routinely conducted in the hospitals.
In addition, a number of standard questionnaires were administered:
- The Arabic version of the Nordic Musculoskeletal Questionnaire (NMQ) was used to investigate musculoskeletal disorders in the last 7 days or 12 months in multiple body regions. The study showed high test-retest reliability (0–23% disagreement) and acceptable validity (0–20% disagreement) as a screening tool.13
- The Arabic version of the Pittsburgh Sleep Quality Index (PSQI) measured sleep quality. The PSQI is a self-rated questionnaire used to evaluate sleep quality and is a valid and reliable tool. It includes 18 items, divided into seven sections. A higher score indicates a lower sleep quality.14 The scale has an internal reliability of 0.83, a test–retest reliability of 0.85 for the global scale, a sensitivity of 89.6%, and a specificity of 86.5%.15
- The Arabic version of the Short Form Health Survey (SF-12) is a shortened form of the 36 Health Survey and was used to assess the perceived quality of life in two main domains: the physical (PCS) and mental (MCS) health of a person’s health-related quality of life. Both domains have good internal consistency (Cronbach’s α < 0.7) and good construct validity.16
- The Arabic version of the Hospital Anxiety and Depression Scale (HADS) was used to assess mental health symptoms of depression and anxiety. The HADS is frequently used in different studies to determine the anxiety and depression symptoms in antenatal and postnatal women.17 HADS includes two subscales to assess depressive and anxiety symptoms. HADS has a high internal consistency (Cronbach’s α =.0.884) and demonstrates adequate structural and concurrent validity with other scales.18–20
- The Arabic version of the Pregnant Physical Activity Questionnaire (PPAQ) was used to determine the physical activity levels among pregnant women. It is a valid and reliable tool developed to assess the duration, intensity, and frequency of physical activity among pregnant women.21 The tool showed good content validity (0.8–1.0), and excellent high test-retest reliability and internal consistency.22
Procedure
The outcome measures were collected using an interviewer-administered method. A research assistant (postgraduate master’s student) trained in data collection and study procedures approached the participants as they attended their routine clinic appointments. Potential participants were informed about the study’s aims and procedures. We emphasized that participation was entirely voluntary, and their medical care would have no adverse consequences if they chose not to participate. Participants were assured of confidentiality and privacy. Upon understanding the study details, participants provided informed consent. The consent process included explaining their rights, withdrawal options, and the purpose of the study. Participants signed the informed consent form, indicating their willingness to participate. The interview lasted about 45–60 minutes. The Institutional Review Board of Jordan University of Science and Technology (JUST) 22/143/2021 approved this study. Patient data privacy and confidentiality are maintained as this study was conducted in compliance with the ethical standards per the Helsinki Declaration.
Sample Size Calculation
A priori sample size calculation was conducted. For logistic regression, an odds ratio of 2.45 was calculated based on the average prevalence estimates of previous studies (61%).6,12 We used G*power to calculate the sample size for this odd ratio. Based on α=0.05 and a power of 0.80 in the binomial distribution, the total sample size required for the analysis was 163 pregnant women with and without leg cramps. To conduct a linear regression analysis, with a medium effect size of 0.15, α=0.05, power of 0.90, and six possible predictors, a total of 116 pregnant women with leg cramps were required for the analysis.
Statistical Analysis
Descriptive statistics were used, including mean, standard deviation, and proportions. In addition, an independent t-test (for continuous normally distributed variables) and a chi-square test (for categorical variables) were used to compare pregnant women with and without leg cramps.
Univariable logistic regression was used to explore important covariates (p<0.15), entered into multivariable logistic regression models. Assumptions of the logistic regression, including the multicollinearity between possible predictors using the variance inflation factor (VIF ≥10.0), were explored as possible collinearity.23 In multivariable logistic regression models, backward and forward selection methods were used to select the best model that fits the data. Significant predictor variables were then used to build the final model with the occurrence of leg cramps (leg cramps vs no leg cramps) as the dependent variables and other variables as independent variables.
A linear regression model was built using cases of women with leg cramps only to determine predictors of leg cramp pain intensity as measured by the NPRS. A significant level of predictors was set at p< 0.05. All data were analyzed using SPSS version 25.
Results
Sample Characteristics
Two hundred and five pregnant women completed the study. The estimated prevalence of leg cramps among this sample was 58% (n=119). Table 1 shows the sample characteristics and the difference between pregnant women with leg cramps and those without leg cramps. The pregnant women with leg cramps had longer gestational weeks (p=0.002), more number of pregnancies (p=0.029), more gastrointestinal problems (p=0.003), more sciatica problems (p=0.014), more leg swelling (p<0.001), more neck pain problem (p=0.012), higher neck pain score (p=0.02), a more low back problem (p=.014), higher low back pain (p=0.034), lower SF-12 physical component subscale (p=0.044) and mental component subscale (p=0.002), lower total SF-12 score (p=0.002), and higher anxiety (p=0.024).
|
Table 1 The Characteristics of the Sample and the Difference Between Pregnant Women with Leg Cramps and Without Leg Cramps |
Predictors of Leg Cramps Occurrence
A multivariable logistic regression model was conducted to identify the significant predictors of leg cramps occurrence. The final model, Hosmer and Lemeshow’s goodness-of-fit test was not significant [X2 (8) = 5.051, p=0.752], indicating a good fit for the model. Not receiving housework assistance (OR 0.454, 95% CI 0.227 - 0.907, p=0.025), longer gestational weeks (OR 1.103, 95% CI 1.015–1.199, p=0.021), number of previous pregnancy (OR 1.213, 95% CI 1.001–1.471, p=0.049), and having leg swelling (OR 2.280, 95% CI 1.145–4.539, p=0.019) and having gastrointestinal (GIT) problems (OR 2.119, 95% CI 1.014–4.428, p=0.046) were the only significant predictors of having leg cramps (Table 2).
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Table 2 Multivariable Logistics Regression Analysis with Leg Cramps as Dependent Variable (with and without Leg Cramps) |
Predictor of Leg Cramps Pain Intensity
The mean pain intensity of leg cramps was 7.39 (1.39). The average frequency was 3.46 (2.21) weekly, which most frequently occurred during sleep (77%), and the most frequent duration was less than one minute (78%).
A multiple linear regression model was conducted to identify significant predictors of leg cramp pain intensity among pregnant women with leg cramps (n=119). The overall linear regression model was significant, and 26% of the variance in leg cramps pain intensity was explained by the model (F (7, 118) = 5.575, p< 0.001).
The results showed that being pregnant with high school education versus elementary school (β=0.699, 95% CI (0.158–1.124), p=0.012), work hours (β= 0.106, 95% CI (0.026 - 0.187, p=0.010), taking vitamins supplement (β= −1.696, 95% CI (−2.151 - −0.037, p=0.043), having diabetes during pregnancy (β=1.046, 95% CI (0.070–2.021), p=0.036), having sciatica (β=0.576, 95% CI (0.064–1.088), p=0.028), having hip pain (β= −0.332, 95% CI (−.630 - −0.034), p=0.029), and PSQI total score (β=0.085, 95% CI (0.014 - 0.156), p=0.020) were the only significant predictors of leg cramp pain intensity (Table 3).
|
Table 3 Multivariable linear regression analysis with leg cramps pain intensity as the dependent variable |
Discussion
This study showed that leg cramps are a common issue among pregnant women in their third trimester, with an estimated prevalence of 58% in Jordan. This finding aligns with similar studies conducted in India, Iran, and the USA, where the prevalence of leg cramps among pregnant women in the third trimester ranged from 47.8% to 64.6%.3–6 Understanding the prevalence of leg cramps in different populations is crucial for healthcare providers to offer appropriate support and management strategies for pregnant women experiencing this common issue.
Our results showed longer gestational weeks increased the odds of developing muscle cramps. Similarly, Mindell et al reported that the leg cramps percentage in the first trimester was 20.9%. This percentage increased to 24.6% and 42.1% in the second trimester and between 47.8% and 50.0% in the third trimester.4 In a study conducted in India, the prevalence of calf muscle cramps was the highest in the third trimester of pregnancy (64.6%) compared to the first (26.7%) and the second (47.8%) trimester.6 It could be hypothesized that progressive pregnancy-related changes may be associated with a higher likelihood of developing muscle cramps. Understanding how changes in pregnancy lead to increased leg cramps could assist in formulating more effective preventive and management strategies for leg cramps in pregnancy.
The study found that women with a higher number of previous pregnancies are more likely to experience leg cramps. This result is consistent with the result obtained from a previous study conducted by Adinma et al, who found that pregnant women with a higher number of previous pregnancies were significantly associated with a higher prevalence of leg cramps and other musculoskeletal complaints.24 This result adds to the risk of multiple pregnancies on women’s health and the importance of planning pregnancies according to women’s ability and health status. Women who are planning multiple pregnancies should discuss possible risks with their doctors and possible preventive measures that can be taken to reduce the risk of leg cramps and other health problems.
Our study was the first to report that leg cramps in pregnant women were significantly associated with the lack of housework assistance. Previous studies showed an association between a lack of housework assistance and musculoskeletal pain.25 Housework has different requirements than other types of work. It requires prolonged standing and sustained posture, which might increase fatigue and leg swelling, ultimately increasing the risk of developing leg cramps. In addition, social and family support for pregnant women positively affects their general well-being.26 This support with housework and other physically demanding tasks may also help to reduce the risk of developing leg cramps by decreasing the risk of developing leg cramps. Pregnant women may consider rest periods during housework and avoiding prolonged standing and sustained posture.
GIT problems in pregnant women were a significant predictor of leg cramps, and 71.7% complained of GIT problems, such as heartburn, nausea, vomiting, constipation, diarrhea, and bloating. Previous studies found that GIT problems during pregnancy may cause an electrolyte imbalance (sodium, potassium, Mg, chloride, and Ca) due to alteration in absorption, especially in women complaining of nausea and vomiting.27 This imbalance has been associated with leg cramps in sports.28,29 However, no previous studies have examined the relationship between electrolyte imbalance (sodium, potassium, and chloride) and leg cramps in pregnant women.
The current study showed that leg swelling significantly predicted leg cramps among pregnant women in the third trimester and that the prevalence of leg swelling among pregnant women in the third trimester was 34.6%. This result is consistent with two previous prevalence studies. A study in Turkey showed that 32.6% of pregnant women in the third trimester complained of leg swelling.30 The other study in India found that 36.2% of pregnant women in the third trimester had leg swelling.6 These studies reported that leg swelling increased as the pregnancy progressed and was more observed in women with a sedentary lifestyle. It is also postulated that the physiological changes during late pregnancy might lead to leg swelling. The sedentary lifestyle negatively affects lower limb muscle activity and accumulated fluid in tissues that pressure the nerves and blood vessels, inhibiting venous return. However, the study suggests a correlation between muscle cramps and leg swelling, but it could not confirm a causative effect. Measures that target preventing and treating leg swelling might be a possible management strategy for leg cramps during pregnancy.
This study found no correlation between leg cramps and Mg and Ca serum levels. Previous studies’ findings conflicted regarding the association of leg cramps with serum levels of Mg and Ca.3 The results of previous interventional studies were also unclear, as to whether Mg and Ca supplementations effectively reduced leg cramps in pregnant women.2,31 A randomized control trial conducted by Mansouri et al found that Ca with Vitamin D supplements did not affect the frequency, length, and pain intensity of leg cramps for pregnant women during the 25th to 30th weeks of gestation.32 However, most of these interventional studies did not measure the serum level of Mg and Ca before and after conducting the trial.
This study found poor sleep quality is associated with increased pain intensity of leg cramps among pregnant women. This finding is consistent with findings that relate sleep disorders to increased pain intensity. For example, Bintang et al reported that poor sleep quality is associated with increased pain intensity in patients with chronic low back pain.33 It has also been reported that poor sleep quality will lower the pain threshold and increase pain sensitivity.34 Therefore, there is a need to develop a practical guideline to evaluate and treat sleep disturbances in pregnant women.
The current study also showed that women with Gestational diabetes (GDM) significantly tend to have more severe leg cramps. In addition, an animal study showed that GDM is associated with increased pain sensitivity and pain-related behaviors. This relationship has been related to the neurotoxic effects of hyperglycemia.35 Since GDM is a prevalent condition among pregnant women and leads to other significant complications,36 the diagnosis, prevention, and management of GDM among pregnant women is therefore vital.
This study showed a statistically positive correlation between pregnant women with sciatica and the severity of leg cramps. No previous studies have assessed the relationship between the severity of leg cramps and sciatica. One possible explanation could be that sciatica pain and leg cramps pain aggravated pregnant women’s perception of pain.
The current study found a positive correlation between the number of working hours and the severity of leg cramps. Fatigue and electrolyte imbalance following physical effort have been reported as possible mechanisms.37 Meanwhile, a recent study revealed that working more than 36 hours weekly is associated with gestational hypertension, difficulty in childbirth, preterm birth, and low birth weight.38 Long working hours might cause adverse health changes, leading to increased pain in leg cramps. The health and safety of pregnant women in their third trimester should be considered when determining working hours and standing requirements in workplace legislation.
A negative correlation between multivitamin consumption and the severity of leg cramps was found in the current study. Therefore, it seems that multivitamin usage could reduce leg cramps pain. However, our study showed that serum Ca and Mg levels were unrelated to leg cramps. Our study did not investigate the type of multivitamins and the active ingredient. Also, using multivitamins was not a significant predictor of the occurrence of leg cramps. This study recommends future controlled experimental studies investigating the effect of using multivitamins and other supplements in managing leg cramps during pregnancy.
The findings of this study provide some insights for pregnant women and healthcare providers about the prevalence of muscle cramps. Also, it might help to develop some educational programs for pregnant women and healthcare providers about possible risk factors and how to reduce the severity of leg cramps. Further studies are needed to assess the electrolytes level of (sodium, potassium, and chloride) across pregnant women and their association with leg cramps. Our study included only pregnant women in their third trimester. Therefore, the findings may not be generalized to pregnant women in the first and second trimesters. Also, the study included pregnant women living in Jordan, and the findings may differ from those in other countries with different healthcare and socioeconomic systems.
Conclusion
This study showed a high prevalence of leg cramps among pregnant women in the third trimester. Leg cramps in pregnant women are significantly related to the absence of housework assistance, progress in the number of gestational weeks, increase with the number of previous pregnancies, having GIT and leg swelling. In addition, pregnant women with a lower level of education, a high number of working hours, GDM, and sciatica reported higher leg cramp pain intensity, while using multivitamins decreased the leg cramp pain intensity. A better understanding of the risk factors for leg cramps will enable healthcare providers to establish more effective preventive and treatment strategies for leg cramps among pregnant women. Further research is needed to fully explore the factors that cause leg cramps among pregnant women.
Abbreviations
Ca, Calcium; HADS, The Hospital Anxiety and Depression Scale; Mg, Magnesium; NMQ, The Nordic Musculoskeletal Questionnaire; NPRS, Numeric Pain Rating Scale; PPAQ, The Pregnant Physical Activity Questionnaire; PSQI, The Pittsburgh Sleep Quality Index; SF-12, The Short Form Health Survey; VIF, Variance Inflation Factor.
Data Sharing Statement
The data that support the findings of this study are openly available in [Mendeley] at [https://data.mendeley.com/datasets/wp79d99nwh/draft?a=f607576a-73d2-4865-a122-7cfa902d5143].
Ethics Approval and Consent to Participate
The Institutional Review Board at Jordan University of Science and Technology approved the study (# 22/143/2021). The study was fully explained to potential participants before they entered it, including the full description of the procedures and the potential benefits. Participation was voluntary, and researchers allowed participants to withdraw from the study at any time without consequences. Pregnant women signed the informed consent form before enrolment. Patient data privacy and confidentiality are maintained as this study was conducted in compliance with the ethical standards per the Helsinki Declaration.
Acknowledgments
The authors thank Shorouq Abandeh for her help with data collection and management.
Author Contributions
All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.
Funding
This study was supported by the Jordan University of Science and Technology (Grant #432/2021). Qatar University funded the publication of this article.
Disclosure
The authors declare that they have no competing interests in this work.
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